continuityguard-cli - npm Package Compare versions

Comparing version 0.1.3 to 0.1.4

package.json

 {
   "name": "continuityguard-cli",
-  "version": "0.1.3",
-  "description": "Free, local-first CLI that scores already-generated AI short-drama clips/frames for character-consistency and physics-plausibility problems before you waste render credits re-shooting a broken shot. Zero network calls, everything runs on your own machine.",
+  "version": "0.1.4",
+  "description": "Free, local-first CLI that scores already-generated AI short-drama clips/frames for character-consistency and physics-plausibility problems. Zero network calls, everything runs on your own machine.",
   "keywords": [
@@ -14,3 +14,8 @@ "cli",
     "local-first",
-    "offline"
+    "offline",
+    "computer-vision",
+    "video-processing",
+    "zero-network",
+    "typescript",
+    "onnx"
   ],
@@ -17,0 +22,0 @@ "homepage": "https://github.com/RudrenduPaul/ContinuityGuard#readme",

README.md

@@ -12,2 +12,3 @@ # ContinuityGuard
 [![Node.js >= 22](https://img.shields.io/badge/node-%3E%3D22-brightgreen)](package.json)
+[![npm version](https://img.shields.io/npm/v/continuityguard-cli.svg)](https://www.npmjs.com/package/continuityguard-cli)
 [![PyPI version](https://img.shields.io/pypi/v/continuityguard-cli.svg)](https://pypi.org/project/continuityguard-cli/)
@@ -186,6 +187,6 @@
 |---|---|---|---|---|---|
-| [Vchitect/VBench](https://github.com/Vchitect/VBench) | 1,697 | Mar 2026 | Apache-2.0 | CVPR 2024 academic benchmark suite that scores video-generation models across 16 dimensions, including a DINOv2-based "subject consistency" metric and a motion-smoothness metric, aggregated across many generated clips | The closest mechanism match: it also scores subject consistency and motion quality on already-generated video. It's a GPU-dependent research benchmark for evaluating a generation model in aggregate, not a lightweight local CLI built to give one creator a per-clip QA report on their own footage. |
-| [serengil/deepface](https://github.com/serengil/deepface) | 23,113 | Jun 2026 | MIT | Widely used, actively maintained Python library for face verification, embeddings, and facial attribute analysis | A component library for face-embedding similarity, not a video-native or short-drama-specific tool. Useful as a building block, but ships no physics check, no clip decoding, and no packaged report format of its own. |
-| [deepinsight/insightface](https://github.com/deepinsight/insightface) | 29,263 | May 2026 | No single machine-readable LICENSE in the repo; project docs describe MIT-licensed code with non-commercial restrictions on some pretrained models | State-of-the-art 2D/3D face analysis toolbox (detection, recognition, alignment) | Same category as DeepFace: a component library, not an end-to-end QA CLI. No physics-plausibility check, no report layer. |
-| [evalcrafter/EvalCrafter](https://github.com/evalcrafter/EvalCrafter) | 193 | Oct 2024 | None listed | CVPR 2024 research framework benchmarking video-generation models on visual quality, motion quality, and text-video alignment across 700 prompts | Adjacent research tool with no commits in roughly two years. Built to benchmark generation models with a heavy multi-metric research stack, not to give a fast local QA pass on a folder of already-generated clips. |
+| [Vchitect/VBench](https://github.com/Vchitect/VBench) | 1,718 | Mar 2026 | Apache-2.0 | CVPR 2024 academic benchmark suite that scores video-generation models across 16 dimensions, including a DINOv2-based "subject consistency" metric and a motion-smoothness metric, aggregated across many generated clips | The closest mechanism match: it also scores subject consistency and motion quality on already-generated video. It's a GPU-dependent research benchmark for evaluating a generation model in aggregate, not a lightweight local CLI built to give one creator a per-clip QA report on their own footage. |
+| [serengil/deepface](https://github.com/serengil/deepface) | 23,204 | Jun 2026 | MIT | Widely used, actively maintained Python library for face verification, embeddings, and facial attribute analysis | A component library for face-embedding similarity, not a video-native or short-drama-specific tool. Useful as a building block, but ships no physics check, no clip decoding, and no packaged report format of its own. |
+| [deepinsight/insightface](https://github.com/deepinsight/insightface) | 29,406 | Jul 2026 | No single machine-readable LICENSE in the repo; project docs describe MIT-licensed code with non-commercial restrictions on some pretrained models | State-of-the-art 2D/3D face analysis toolbox (detection, recognition, alignment) | Same category as DeepFace: a component library, not an end-to-end QA CLI. No physics-plausibility check, no report layer. |
+| [evalcrafter/EvalCrafter](https://github.com/evalcrafter/EvalCrafter) | 195 | Oct 2024 | None listed | CVPR 2024 research framework benchmarking video-generation models on visual quality, motion quality, and text-video alignment across 700 prompts | Adjacent research tool with no commits in roughly two years. Built to benchmark generation models with a heavy multi-metric research stack, not to give a fast local QA pass on a folder of already-generated clips. |
 
@@ -192,0 +193,0 @@ Star counts and last-activity dates above were pulled live from the GitHub API while writing this table.

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